Flame Failures and Recovery in Industrial Furnaces: A Neural Network Steady-State Model for the Firing Rate Setpoint Rearrangement

Table 3

Single-burner failure/firing capacity shortage.

	Burner 1 excess flow (%)	Burner 2 excess flow (%)	Burner 3 excess flow (%)	Burner 4 excess flow (%)	Burner 5 excess flow (%)	Temperature deviation (K)	Total fuel flow rate changes (%)
Case 1	Fail	27.74	23.79	24.23	23.79	3.8	−0.45
Case 2	25% capacity	23.5	19.99	21.45	16.49	0.014	+6.43
Case 3	50% capacity	19.99	12.69	14.44	10.64	0.006	+7.76
Case 4	75% capacity	10.49	8.44	9.03	7.28	0.006	+10.24
Case 5	27.74	Fail	24.38	23.79	23.65	3.1	−0.44
Case 6	22.19	25% capacity	19.12	17.51	18.82	0.011	+2.64
Case 7	17.22	50% capacity	16.19	8.31	11.22	0.002	+2.94
Case 8	10.34	75% capacity	8.89	4.50	6.40	0.002	+5.13
Case 9	24.38	26.42	Fail	27.00	23.79	1.81	+1.59
Case 10	15.32	22.19	25% capacity	21.89	15.61	0.002	+0.01
Case 11	9.91	15.61	50% capacity	16.05	9.62	0.001	+1.19
Case 12	5.22	9.47	75% capacity	8.74	4.91	0.001	+3.34
Case 13	23.65	23.79	24.38	Fail	27.74	2.71	−0.44
Case 14	17.81	16.63	18.53	25% capacity	21.63	0.011	+0.6
Case 15	10.77	8.00	15.91	50% capacity	16.64	0.003	+1.32
Case 16	6.11	4.21	8.74	75% capacity	9.91	0.001	+3.97
Case 17	23.79	24.08	23.65	27.59	Fail	2.8	−0.89
Case 18	15.02	20.00	18.53	22.04	25% capacity	0.013	+0.59
Case 19	9.18	12.98	11.22	18.53	50% capacity	0.006	+1.91
Case 20	5.82	7.57	6.99	9.03	75% capacity	0.0021	+4.41